manishbansal0021/vehicle-speed-check

Vehicle Speed Check

Vehicle Speed Detection

Technologies used :

• Python
• opencv
• dlib

Tasks breakdown

1. Vehicle Detection
   • We are using Haarcascade classifier to identify vehicles.
2. Vehicle Tracking - ( assigning IDs to vehicles )
   • We have used corelation tracker from dlib library.
3. Speed Calculation
   • We are calculating the distance moved by the tracked vehicle in a second, in terms of pixels, so we need pixel per meter to calculate the distance travelled in meters.
   • With distance travelled per second in meters, we will get the speed of the vehicle.

How to run project?

Follow steps:

1. Clone repo : git clone https://github.com/kraten/vehicle-speed-check

2. cd (change directory) into vehicle-speed-check cd vehicle-speed-check

3. Create virtual environment python -m venv venv

4. Activate virtual environment ./venv/bin/activate

5. Install requirements pip install -r requirements.txt

6. run speed_check.py script python speed_check.py

Pull requests are welcome